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Amazon Batch 使用的工作场景 EcsProperties

为了说明如何根据您的需求来构造所使用的 Amazon Batch EcsProperties任务定义，本主题介绍了以下RegisterJobDefinition负载。您可以将这些示例复制到文件中，根据需要对其进行自定义，然后使用 Amazon Command Line Interface (Amazon CLI) 进行调用RegisterJobDefinition。

Amazon Batch 亚马逊弹性容器服务在亚马逊弹性计算云上的工作

{
    "jobDefinitionName": "multicontainer-ecs-ec2",
    "type": "container",
    "ecsProperties": {
        "taskProperties": [
          {
            "containers": [
              {
                "name": "c1",
                "essential": false,
                "command": [
                  "echo",
                  "hello world"
                ],
                "image": "public.ecr.aws/amazonlinux/amazonlinux:latest",
                "resourceRequirements": [
                  {
                    "type": "VCPU",
                    "value": "2"
                  },
                  {
                    "type": "MEMORY",
                    "value": "4096"
                  }
                ]
              },
              {
                "name": "c2",
                "essential": true,
                "command": [
                  "echo",
                  "hello world"
                ],
                "image": "public.ecr.aws/amazonlinux/amazonlinux:latest",
                "resourceRequirements": [
                  {
                    "type": "VCPU",
                    "value": "6"
                  },
                  {
                    "type": "MEMORY",
                    "value": "12288"
                  }
                ]
              }
            ]
          }
        ]
  }
}

Amazon Batch 在 Amazon ECS 上工作 Amazon Fargate

{
    "jobDefinitionName": "multicontainer-ecs-fargate",
    "type": "container",
    "platformCapabilities": [
        "FARGATE"
    ],
    "ecsProperties": {
        "taskProperties": [
          {
            "containers": [
              {
                "name": "c1",
                "command": [
                  "echo",
                  "hello world"
                ],
                "image": "public.ecr.aws/amazonlinux/amazonlinux:latest",
                "resourceRequirements": [
                  {
                    "type": "VCPU",
                    "value": "2"
                  },
                  {
                    "type": "MEMORY",
                    "value": "4096"
                  }
                ]
              },
              {
                "name": "c2",
                "essential": true,
                "command": [
                  "echo",
                  "hello world"
                ],
                "image": "public.ecr.aws/amazonlinux/amazonlinux:latest",
                "resourceRequirements": [
                  {
                    "type": "VCPU",
                    "value": "6"
                  },
                  {
                    "type": "MEMORY",
                    "value": "12288"
                  }
                ]
              }
            ],
            "executionRoleArn": "arn:aws:iam::1112223333:role/ecsTaskExecutionRole"
          }
        ]
  }
}

Amazon Batch 亚马逊 Elastic Kubernetes Service 的工作

{
  "jobDefinitionName": "multicontainer-eks",
  "type": "container",
  "eksProperties": {
    "podProperties": {
      "shareProcessNamespace": true,
      "initContainers": [
        {
          "name": "init-container",
          "image": "public.ecr.aws/amazonlinux/amazonlinux:2",
          "command": [
            "echo"
          ],
          "args": [
            "hello world"
          ],
          "resources": {
            "requests": {
              "cpu": "1",
              "memory": "512Mi"
            }
          }
        },
        {
          "name": "init-container-2",
          "image": "public.ecr.aws/amazonlinux/amazonlinux:2",
          "command": [
            "echo",
            "my second init container"
          ],
          "resources": {
            "requests": {
              "cpu": "1",
              "memory": "512Mi"
            }
          }
        }
      ],
      "containers": [
        {
          "name": "c1",
          "image": "public.ecr.aws/amazonlinux/amazonlinux:2",
          "command": [
            "echo world"
         ],
          "resources": {
            "requests": {
              "cpu": "1",
              "memory": "512Mi"
            }
          }
        },
        {
          "name": "sleep-container",
          "image": "public.ecr.aws/amazonlinux/amazonlinux:2",
          "command": [
            "sleep",
            "20"
          ],
          "resources": {
            "requests": {
              "cpu": "1",
              "memory": "512Mi"
            }
          }
        }
      ]
    }
  }
}

多节点并行 (MNP) Amazon Batch 作业，每个节点有多个容器

{
  "jobDefinitionName": "multicontainer-mnp",
  "type": "multinode",
  "nodeProperties": {
    "numNodes": 6,
    "mainNode": 0,
    "nodeRangeProperties": [
      {
        "targetNodes": "0:5",
        "ecsProperties": {
          "taskProperties": [
            {
              "containers": [
                {
                  "name": "range05-c1",
                  "command": [
                    "echo",
                    "hello world"
                  ],
                  "image": "public.ecr.aws/amazonlinux/amazonlinux:latest",
                  "resourceRequirements": [
                    {
                      "type": "VCPU",
                      "value": "2"
                    },
                    {
                      "type": "MEMORY",
                      "value": "4096"
                    }
                  ]
                },
                {
                  "name": "range05-c2",
                  "command": [
                    "echo",
                    "hello world"
                  ],
                  "image": "public.ecr.aws/amazonlinux/amazonlinux:latest",
                  "resourceRequirements": [
                    {
                      "type": "VCPU",
                      "value": "2"
                    },
                    {
                      "type": "MEMORY",
                      "value": "4096"
                    }
                  ]
                }
              ]
            }
          ]
        }
      }
    ]
  }
}